WANG Zhiqiang. Development and Application of Revit-ANSYS Model Conversion Interface[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(6): 187-194. doi: 10.3724/j.gyjzG26011404
Citation:
WANG Zhiqiang. Development and Application of Revit-ANSYS Model Conversion Interface[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(6): 187-194. doi: 10.3724/j.gyjzG26011404
WANG Zhiqiang. Development and Application of Revit-ANSYS Model Conversion Interface[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(6): 187-194. doi: 10.3724/j.gyjzG26011404
Citation:
WANG Zhiqiang. Development and Application of Revit-ANSYS Model Conversion Interface[J]. INDUSTRIAL CONSTRUCTION, 2026, 56(6): 187-194. doi: 10.3724/j.gyjzG26011404
With the deepening application of Building Information Modeling (BIM) throughout the lifecycle of construction projects, achieving efficient and high-fidelity data exchange between BIM platforms and finite element analysis (FEA) software has become a critical step toward intelligent structural design. However, conventional data exchange methods often suffer from information loss and insufficient automation in the transfer of geometric data, material property mapping, inheritance of loading and boundary conditions, and representation of structural connectivity. To address these challenges, this study proposed and implemented a direct model conversion interface method based on the Revit API and ANSYS APDL (ANSYS Parametric Design Language) command scripts. The method employed C#-based secondary development of the Revit platform to accurately extract key information from structural components, including spatial geometry, material properties, load cases, and constraint conditions. These data were then transformed into executable APDL scripts for ANSYS, enabling full automation of the finite element modeling, solution process, and post-processing result extraction. This method was validated through a multi-stage construction simulation of a high-rise steel-concrete composite structure. The results demonstrate that the proposed interface effectively maintains information consistency between the BIM and FEA models, significantly improves modeling efficiency and analysis accuracy, and yields stress results in good agreement with those from MIDAS/Gen, with a maximum relative error within 10%.